scEpiLock: A Weakly Supervised Learning Framework for <i>cis</i>-Regulatory Element Localization and Variant Impact Quantification for Single-Cell Epigenetic Data

scEpiLock: A Weakly Supervised Learning Framework for <i>cis</i>-Regulatory Element Localization and Variant Impact Quantification for Single-Cell Epigenetic Data

Recent advances in single-cell transposase-accessible chromatin using a sequencing assay (scATAC-seq) allow cellular heterogeneity dissection and regulatory landscape reconstruction with an unprecedented resolution. However, compared to bulk-sequencing, its ultra-high missingness remarkably reduces...

Full description

Bibliographic Details
Main Authors: Yanwen Gong, Shushrruth Sai Srinivasan, Ruiyi Zhang, Kai Kessenbrock, Jing Zhang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Biomolecules
Subjects:
scATAC-seq
<i>cis</i>-regulatory localization
deep learning
brain disorder
Online Access:https://www.mdpi.com/2218-273X/12/7/874

Internet

https://www.mdpi.com/2218-273X/12/7/874

Similar Items